This regression algorithm has several applications across the industry for product pricing, real estate pricing, marketing departments to find out the impact of campaigns. Unlike linear regression ...

There are dozens of machine learning algorithms, ranging in complexity from linear regression and logistic regression to deep neural networks and ensembles (combinations of other models).

Key Insights Deep-learning algorithms exhibit remarkable performance in practice, but it is not well-understood why they are able to generalize despite having more parameters than training examples.

We assessed the efficiency and capability of the Deep-RBN in the estimation of forest structural parameters in a subtropical planted forest of southern China, by comparing the traditional FCN ...

Nonlinear extensions of this regression problem constitute the foundations of modern deep learning, aiming at the inference of superpositions ϕ ° ϕ ° ϕ (…) for generalized functions ϕ (e.g., ...

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential ...

Linear regression draws corresponding trend lines, such as disease outbreaks, bitcoin prices, demand for software experts, etc.